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Titlebook: Intelligent Decision Technologies 2019; Proceedings of the 1 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2020

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发表于 2025-3-21 19:34:29 | 显示全部楼层 |阅读模式
书目名称Intelligent Decision Technologies 2019
副标题Proceedings of the 1
编辑Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja
视频video
概述Includes recent research on intelligent decision technologies.Highlights the interdisciplinarity of intelligent decision technologies, connecting computer science with the development of artificial in
丛书名称Smart Innovation, Systems and Technologies
图书封面Titlebook: Intelligent Decision Technologies 2019; Proceedings of the 1 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2020
描述.The book presents a collection of peer-reviewed articles from the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT-19), held Malta on 17–19 June 2019. The conference provided opportunities for the presentation of new research results and discussion about them. It was also an opportunity to generation of new ideas in the field of intelligent decision making. The range of topics explored is wide, and covers methods of classification, prediction, data analysis, decision support, modelling and many more in such areas as finance, cybersecurity, economy, health, management and transportation. The topics cover also problems of data science, signal processing and knowledge engineering..
出版日期Conference proceedings 2020
关键词Intelligent Systems; Intelligent Decision Technologies; Decision Support Systems; IDT 2019; Smart Digita
版次1
doihttps://doi.org/10.1007/978-981-13-8311-3
isbn_softcover978-981-13-8313-7
isbn_ebook978-981-13-8311-3Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightSpringer Nature Singapore Pte Ltd. 2020
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Syntax and Semantics-Based Decision-Makings. Searching is seen as a particular decision-making operation with regard to similarity of searched objects. The proposed methodology may serve as an example vehicle that can be employed in different structures of information.
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Decision-Making Support Using Nonmonotonic Probabilistic Reasoningisions one is interested in. A formal characterization of this probabilistic extension to . is provided in addition to examples demonstrating its potential use. It is also shown that the proposed techniques do not increase the complexity of standard .-based reasoning.
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Fuzzy Cognitive Maps: A Business Intelligence Discussion the fixed point is unique, we recommend to focus on the number of iterations to converge instead of focusing on the reached attractor and stress the importance of the transfer function chosen in the model.
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Intelligent Diagnosis of Discrete-Event Systems with Preprocessing of Critical Scenariosque based on . is proposed. Scenarios are compiled into a flexible data structure called an ., which allows for the efficient explanation of symptoms. The dictionary is open inasmuch as it can be expanded by new scenarios and symptoms.
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Conference proceedings 2020, held Malta on 17–19 June 2019. The conference provided opportunities for the presentation of new research results and discussion about them. It was also an opportunity to generation of new ideas in the field of intelligent decision making. The range of topics explored is wide, and covers methods o
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